Use of machine learning techniques for identifying ischemic stroke instead of the rule-based methods: a nationwide population-based study

Use of machine learning techniques for identifying ischemic stroke instead of the rule-based methods: a nationwide population-based study

Abstract Background Many studies have evaluated stroke using claims data; most of these studies have defined ischemic stroke using an operational definition following the rule-based method. Rule-based methods tend to overestimate the number of patients with ischemic stroke. Objectives We aimed to id...

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Dettagli Bibliografici
Autori principali: Hyunsun Lim, Youngmin Park, Jung Hwa Hong, Ki-Bong Yoo, Kwon-Duk Seo
Natura: Articolo
Lingua:English
Pubblicazione: BMC 2024-01-01
Serie:European Journal of Medical Research
Soggetti:
Phenotyping
Ischemic stroke
Machine learning
Deep learning
Insurance claim analysis
Accesso online:https://doi.org/10.1186/s40001-023-01594-6

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https://doi.org/10.1186/s40001-023-01594-6

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